conftrace_

off-policy learning

228 papers

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Also known as

OPL

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) sample efficiency (472) continuous control (246) temporal difference learning (149) policy optimization (657) value function (295) off-policy reinforcement learning (34) importance sampling (318)

Papers

Distributional Policy Optimization: An Alternative Approach for Continuous Control NIPS 2019
A Kernel Loss for Solving the Bellman Equation NIPS 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NIPS 2019
Off-Policy Deep Reinforcement Learning without Exploration ICML 2019
P3O: Policy-on Policy-off Policy Optimization UAI 2019
Divergence-Augmented Policy Optimization NIPS 2019
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NIPS 2019
Assumed Density Filtering Q-learning IJCAI 2019
Dynamic Experience Replay CORL 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning CORL 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019
Evolution-Guided Policy Gradient in Reinforcement Learning NIPS 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning ICML 2018
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization ICML 2018
On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation CORL 2018